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Research Abstracts Online
January 2010 - March 2011

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University of Minnesota Duluth
Swenson College of Science and Engineering
Department of Computer Science

PI: Ted Pedersen, Associate Fellow

Word Sense Disambiguation in High-Dimensional Feature Spaces

Most words in natural language have multiple possible meanings. This simple fact causes no end of difficulties for computer systems that seek to understand human language. The goal of this project is to develop computational methods that automatically determine which meaning of a word is intended in a particular context, and easily adapt to the variations in word meaning that accompany changes in the subject matter and intended audience of a text. Word meanings are central to language understanding, and success in this research will improve the ability of computer systems to perform translation, retrieve information from the web, and summarize documents.

Group Members

Serguei V.S. Pakhomov, Co-Principal Investigator
Varada Waman Kohlhatkar, Graduate Student
Ying Liu, Research Associate
Bridget A. Thomson McInnes, Graduate Student
Rachel Wang, School of Computer Science and Informatics, University College Dublin, Ireland